AIMC Topic: Animals

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Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.

Scientific reports
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif...

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

Hereditas
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response....

Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds.

BMC genomics
BACKGROUND: Shandong's local duck breeds are renowned for their outstanding egg-laying performance and are regarded as valuable assets within China's waterfowl germplasm. Understanding the genetic characteristics of these populations, along with moni...

Deep learning model enables the discovery of a novel BET inhibitor YD-851.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
BET inhibitor is a novel strategy in tumor therapy based on targeting epigenetic mechanism. In recent decades, dozens of clinical trials have been conducted to validate the potential efficacy of the first-generation BET inhibitors in refractory cance...

Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level.

Communications biology
Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease. The molecular understanding of ALS is hampered by the lack of experimental models recapitulating disease heterogeneity and analytical framework integrating multi-omics dataset...

From molecular chaos to precision medicine in the treatment of cardiac hypertrophy: A rational use of natural products by integrating artificial intelligence and multi-omics data.

Pharmacological research
Given the intricate and multifactorial molecular mechanisms underlying cardiac hypertrophy (CH), conventional pharmacological treatments often face significant challenges in achieving disease reversal. This review presents an innovative approach to t...

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al...

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr...

Advancing fishery dependent and independent habitat assessments using automated image analysis: A fisheries management agency case study.

PloS one
Advances in artificial intelligence and machine learning have revolutionised data analysis, including in the field of marine and fisheries sciences. However, many fisheries agencies manage sensitive or proprietary data that cannot be shared externall...

Navigating the future of oncology: the transformative role of microrobots in precision cancer therapy.

International journal of pharmaceutics
Systemic chemotherapy has long served as a cornerstone in the management of various malignancies. However, its inherent lack of specificity often leads to significant adverse effects, prompting the exploration of innovative nanomedicine strategies to...